Ajout

.env

@@ -1,4 +1,4 @@
-QDRANT_URL=https://ebe79742-e3ac-4d09-a2c6-63946024cc7a.us-east4-0.gcp.cloud.qdrant.io
-QDRANT_KEY=_NnGLuSMH4Qwv-ancoFh88YvzuR7WbyidAorVOVQ_eMCbPhxTb2TSw
+QDRANT_URL=https://006817a4-0b45-4db8-a4e5-1f916808e19b.us-east4-0.gcp.cloud.qdrant.io:6333
+QDRANT_KEY=d9MUWQOMUA7JGBdpoFRtmou-h4Pf-e9uCrr0jMtUfAvvk4osqL_JtA
 AWS_ACCESS_KEY_ID=AKIAWOUASMWP5DM6RZG2
 AWS_SECRET_ACCESS_KEY=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

app.py

@@ -12,8 +12,6 @@ load_dotenv()
 QDRANT_URL = os.getenv('QDRANT_URL')
 QDRANT_KEY = os.getenv('QDRANT_KEY')
 
-# Vérifier les valeurs récupérées
-
 
 try:
     # Vérifier que les variables sont correctement récupérées
@@ -35,25 +33,18 @@ try:
 
     def sound_search(query):
         try:
-            print(f"[DEBUG] Received query: {query}")
             text_inputs = processor(text=query, return_tensors="pt")
-            print(f"[DEBUG] Text inputs: {text_inputs}")
             text_embed = model.get_text_features(**text_inputs)[0]
-            print(f"Text embed: {text_embed}")
 
             hits = client.search(
-                collection_name="music_db",
+                collection_name="demo_spaces_db",
                 query_vector=text_embed.tolist(),
                 limit=max_results,
             )
-            print(f"Search results: {hits}")
-            print([
-                hit.payload['audio_s3url']
 
-            for hit in hits])
             return [
                 gr.Audio(
-                    hit.payload['url'],
+                    hit.payload['audio_s3url'],
                     label=f"style: {hit.payload['style']} -- score: {hit.score}")
                 for hit in hits
             ]
@@ -65,7 +56,6 @@ try:
         gr.Markdown("# Sound search database")
         inp = gr.Textbox(placeholder="What sound are you looking for?")
         out = [gr.Audio(label=f"{x}") for x in range(max_results)]
-        print(sound_search("fun"))
         inp.submit(sound_search, inputs=inp, outputs=out)
 
     demo.launch()